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OrgJQL adds integrates your org data with Jira so you can create queries using orgOf
and create manager-specific reports and notifications using Rovo.
Getting Started
Start here to set up your org data and create your first reports.
Quick Start
Step 1: Create a spreadsheet of the users and managers you want to include
If you don’t have any headings, the first column will be treated as the users and the second column their managers.
NOTE: These must be Jira display names
If you do use headings, the user heading must be user
and the manager heading must be manager
. Here’s an example Google Spreadsheet:
Step 2: Click on Update Org Data and add org data
Click on the “Update Org Data” card
Then click on the “Add Org Data” button:
Copy your spreadsheet data and paste into the editor and click “Save”
Step 3: Test your data
Click on the “Test Org Data” tab and enter a query using your org data. OrgJQL defines an orgOf
JQL function that takes a manager’s name and returns a list of everyone who rolls up to them. Here’s an example query:
assignee in orgOf("William MacLane")
Verify the expansion is correct.
Using Rovo to create manager-specific reports
In OrgJQL, all one-off reports are built for a given “root manager”. This is the top level manager for the report. Every report has an “Org Chart Control” that allows you to drill up and down into the org:
When you select a manager, all issues in the report are filtered to that manager.
Creating a basic report
To get to the OrgJQL Assistant, click on “Chat” at the upper right of the window, then on “Browse Agents”, and then select “OrgJQL Assistant”.
To create a basic report for a manager (essentially, just the org information) you can enter the following into the Rovo chat:
Create a new report for William MacLane
The OrgJQL Assistant will return a link that shows you the org control for that manager
Adding issues to your report
To add issues to an existing report, type something like:
Add this JQL to the report: labels=2024-Q4
The OrgJQL Assistant will create a new link to a report using that JQL to pull issues.
If there are issues in your report, you’ll see an “Issues Table” bottom in sidebar at the left:
Clicking this will display an issues table filtered by the selected manager. The selected manager is shown in purple at the top of the Issue Table:
The shortcut for toggling the issue table is: t
.
Using Rovo to Create Leaderboards
A Leaderboard is a component that rolls issues up by manager and slices them by another dimension. By default, the values in a leaderboard are issue counts, but that can be changed to another statistic (e.g., Story Points, Average Days Late, Max Days Late, etc.)
To add a leaderboard to an existing report, type something like this into the OrgJQL Assistant chat:
Add leaderboard to this report
Rovo will response with a new link that has the leaderboard in it.
Clicking on a pie slice or cell will select all issues in that go into that. These will be highlighted in orange.
If some but not all issues in an element are selected, the label will be shown in italics:
All selected issues are indicated in the sidebar
Clicking on this control brings up the Issue Table:
Using Rovo to Create Issue Graphs
Issue Graphs show the critical path for a set of issues that are linked by “blocked on” relationships and which have time estimates. To add a leaderboard to a report, type something like this for any of the linked issues:
Add an issue graph for BIZDEV-246
NOTE: OrgJQL traverses the graph by pulling prerequisite and dependent issues in steps. Picking an issue in the center of the issue graph will cut the traversal time in half.
Selecting a manager will drills down into the Issue Graph for that manager. For instance, if we select “Leo Moore”, we’ll see this:
Issues can be selected by clicking on a node or by selecting issues in the issue table:
Tweaking an OrgJQL Report
All OrgJQL reports are constructed in the Forthic language. Rovo understands how to construct this Forthic. You can also construct this Forthic on your own (or tweak the Forthic that Rovo comes up with).
Understanding Forthic
Tweaking a Leaderboard
Tweaking an Issue Graph
Administration
Go deeper into OrgJQL and look at JQL Executions and customize your own org functions.
Review JQL Executions
In this section, we'll go over how to view and manage OrgJQL executions. These "expansions" are stored by Jira for performance, but they are updated when issues are created or updated or when org data is changed. You can also force update any or all OrgJQL executions here.
Background on JQL Executions
When a JQL function is executed, it expands into a JQL fragment that is substituted into the query.
Jira stores these expansions in a pre-computations database to improve performance. The expansions for OrgJQL are listed in the table of the “Review JQL Executions” page.
Searching for clauses
You can filter the table by clauses:
Refreshing expansions
You can click on the “Refresh” control for each clause to force update an expansion:
When are Precomputations Updated?
The following trigger OrgJQL precomputation updates:
Ticket is created (after 15 minutes of inactivity)
Ticket is updated (after 15 minutes of inactivity)
OrgJQL data is updated
Custom JQL function code is updated
When “Refresh All” is clicked in the “Review JQL Executions” page
The refresh job is asynchronous and runs from a queue, so only one job is ever running at a time.
NOTE: Precomputations are only updated if their values have changed.
Stopping a Precomputation Refresh Job
You can stop a running precomputation job by clicking “Force Stop”:
Customize JQL Functions
In addition to the built-in orgOf
JQL Function, you can create custom JQL functions in Forthic.
The following functions can be customized:
fx.users
allows you to write custom Forthic code to return an array of usersfx.issues
allows you to write custom Forthic code to return an array of issues
Background
OrgJQL was written in Forthic, a language developed at LinkedIn to build hundreds of internal Jira-based tools for program and engineering management. Forthic is also the language that allows fx.users
and fx.issues
to be customized on-the-fly, directly within your Jira instance without any external servers.
Forthic in Jira
The editor for customizing OrgJQL functions is actually a Forthic IDE. You can execute words directly within the IDE and see their effect in the developer pane at the bottom of the editor:
You can define new words using this pattern:
: NEW-WORD WORDS TO BE EXECUTED;
For instance, we can extract 3 +
from the previous example and create a new ADD-3
definition and use it like this:
Example: Customize fx.users
Getting all the users that roll up into a manager
Let’s start by showing how to get all the users in a manager’s org. This is actually how the orgOf
JQL function is implemented.
NOTE: This assumes you have some org data set up. See “Managing Org Data” for more info.
The FULL-ORG
word returns all of the users that roll up into a manger (see the right sidebar for more info). For instance, executing the following line will return all of the users in Kai Bentley’s org:
"Kai Bentley" FULL-ORG
A silly example to get all users whose names are more than 12 characters
This is an example that does something that you can’t do directly in JQL. It’s a silly example, but it illustrates a useful pattern. We’ll use SELECT
to filter a list of names given a predicate, in this case, all names greater than 12 characters:
"William MacLane" FULL-ORG "LENGTH 12 >" SELECT
We could use this in JQL by defining a new word called MACLANE-LONG
:
: MACLANE-LONG "William MacLane" FULL-ORG "LENGTH 12 >" SELECT;
We can then save the code and then test the expansion in the “Test Custom JQL Functions” tab:
Get the direct reports for a manager
We can use the DIRECTS
word to get the direct reports for a manager. For instance, we could use this definition to get the direct reports for “William MacLane”:
: MACLANE-DIRECTS "William MacLane" DIRECTS;
In the case of DIRECTS
, we could actually just call it directly (since we can pass data to words through Forthic):
Customizing fx.issues
We’ll implement a classic JQL function that returns all Epics that have unresolved Stories. We can do this in 10 lines of Forthic:
["project"] VARIABLES : FIELDS ["Summary" "Parent"]; : project-EPIC-JQL ["project = " project @ " and resolved = NULL and issuetype='Epic'"] CONCAT; : project-EPICS project-EPIC-JQL FIELDS jira.SEARCH; : project-EPIC-KEYS-STR project-EPICS "'key' REC@" MAP UNIQUE "," JOIN; : project-STORY-JQL ["Parent in (" project-EPIC-KEYS-STR ") and issuetype='Story' and resolved = null"] CONCAT; : project-UNRESOLVED-STORIES project-STORY-JQL FIELDS jira.SEARCH; : project-EPICS-w/UNRESOLVED project-UNRESOLVED-STORIES "'Parent' REC@" MAP UNIQUE SORT; : INCOMPLETE-EPICS (project !) project-EPICS-w/UNRESOLVED;
(Don’t worry about the syntax just yet – we’ll go over each line)
Giving it a try
The word that gives us the incomplete epics is called…INCOMPLETE-EPICS
. We can run it like this:
"ENG" INCOMPLETE-EPICS
Passing a parameter to a definition
If we look at the INCOMPLETE-EPICS
definition, we see that the first part of it looks like this: (project !)
. In Forthic, parentheses are whitespace, so you can ignore those. We use parentheses to indicate that we’re going to take the top of the stack and store it in a variable. The project
variable is defined in Line 1.
The !
word sets the value of a variable to what’s just before it. So, this line sets the value of project
to "ENG"
:
"ENG" (project !)
Naming convention: prefix definitions with variable names
When a definition uses the value of a variable, we prefix its name with the variable’s name. You can see that in Lines 4 through 9 above. Each of those words relies on the value of project
being set. Once it is, any of those can be called at will. The project
variable establishes a context that those words run in.
Line 3: FIELDS
The FIELDS
word simply defines an array of Jira fields to pull for each issue.
NOTE: Forthic arrays start with [
and consist of all objects on the stack up until ]
. Because we use the state of the stack rather than syntax to define arrays, commas are not needed to separate array elements.
Line 4: project-EPIC-JQL
The project-EPIC-JQL
word constructs the JQL to pull all the epics for a project
by concatenating strings together (the @
word retrieves the value of a variable).
This is what it looks like when project
has the value of "ENG"
:
Line 5: project-EPICS
The project-EPICS
word uses the jira.SEARCH
word from the Forthic Jira module to pull issues. This word expects a JQL string and an array of Jira fields. Here are the results when it’s run:
Line 6: project-EPIC-KEYS-STR
The project-EPIC-KEYS-STR
word extracts the issue keys for each of the epics. It uses the following to do this:
"'key' REC@" MAP
The MAP
word maps a Forthic string over each of the epics, retrieving the result for each item into a new array. For this case, the string "'key' REC@"
retrieves the key for each epic. The effect is to convert a list of epic records into a list of their associated issue keys. Here is the result of this word:
Line 7: project-STORY-JQL
The project-STORY-JQL
word constructs JQL to pull all of the unresolved stories for the specified epics. It is similar to the project-EPIC-JQL
word, but instead of a project, it concatenates the epic key string that we just computed into a JQL string:
This JQL string pulls all of the unresolved stories that are part of the epics of project
Line 8: project-UNRESOLVED-STORIES
The project-UNRESOLVED-STORIES
word just pulls unresolved stories using the JQL from Line 7
and the fields from Line 3
. Here’s the result from running this:
Line 9: project-EPICS-w/UNRESOLVED
The project-EPICS-w/UNRESOLVED
word just gathers the Parent
field (the Epics) from each of the unresolved stories. It uniques and sorts them. These are the incomplete epics for the project in question.
Going Further
Forthic brings new capabilities to Jira. You can essentially develop applications directly within a Jira instance instead of having to go through a long build and deploy cycle. We’ve only touched on what Forthic can do. To learn more, please sign up for Forthic Office Hours or ask us a question at the Forthix JSM portal.
References
Forthic github repo: https://github.com/linkedin/forthic
Forthix syntax: https://github.com/linkedin/forthic/blob/main/docs/SYNTAX.md
Forthic global words: https://github.com/linkedin/forthic/blob/main/docs/modules/global_module.md
Forthic Jira words: https://github.com/linkedin/forthic/blob/main/docs/modules/jira_module.md
Managing Org Data
In this section, we’ll show you how to add and update organizational data for OrgJQL
Update Org Data Tab
This tab lists what data you currently have set up. The default data is what’s used for the orgOf
JQL function. Non-default data can be used when customizing the fx.users
function. See “Customizing JQL Functions” below.
Viewing Org Data
You can view the data for an organization by clicking on its name. For instance, clicking on “Engineering” might show the following:
Updating Org Data
The format of the organizational data is an array of user/manager pairs. Note that the names are Jira Display names. Also note that, in OrgJQL, arrays use whitespace as separators instead of commas.
An alternative way to updating org data is to copy and paste it from a spreadsheet. In this case, the first column of the spreadsheet should be user names and the second, the corresponding manager:
When adding or updating org data, just add the relevant users and managers. While you can add your entire company, you can always start with a smaller, more relevant set of people.
Default Data
The default data set can be set by ensuring the “Default Data” slider is on for the dataset in question:
The default data is used for the orgOf
word and for many of the customized JQL functions.
Testing Org Data
To check your default org data, go to the “Test Org Data” tab and enter a query using the orgOf
JQL function:
You can check the query by clicking the “View in Jira” link.
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